Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

Retrieving, analyzing, and processing large data can be challenging. An effective and
efficient mechanism for overcoming these challenges is to cluster the data into a compact …

Clustering analysis method is one of the main analytical methods in data mining, the method
of clustering algorithm will influence the clustering results directly. This paper discusses the …

Data mining is the process of finding structure of data from large data sets. With this process,
the decision makers can make a particular decision for further development of the real-world …

The ability to monitor the progress of students academic performance is a critical issue to the
academic community of higher learning. A system for analyzing students results based on …

Recommender systems have the ability to filter unseen information for predicting whether a
particular user would prefer a given item when making a choice. Over the years, this process …

Emergence of modern techniques for scientific data collection has resulted in large scale
accumulation of data pertaining to diverse fields. Conventional database querying methods …

The k-means method aims to divide a set of N objects into k clusters, where each cluster is
represented by the mean value of its objects. This algorithm is simple and converges to local …

This paper presents a novel accelerated exact k-means called as" Ball k-means" by using
the ball to describe each cluster, which focus on reducing the point-centroid distance …

Employing an appropriate method to achieve a reliable decision remains a challenge for
decision-makers (DMs) in the multiple-criteria decision-making (MCDM) process owing to its …